news_classifier-distilbert-base-uncased-subject-only – AI Model by andypyc | AlphaNeural AI | AlphaNeural AI

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andypyc/
news_classifier-distilbert-base-uncased-subject-only

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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news_classifier-distilbert-base-uncased-subject-only

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9128
Accuracy: 0.6719

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	48	1.1869	0.5417
No log	2.0	96	0.9940	0.5833
No log	3.0	144	0.9497	0.5833
No log	4.0	192	0.8526	0.6146
No log	5.0	240	0.8595	0.6510
No log	6.0	288	0.8548	0.6562
No log	7.0	336	0.8727	0.6823
No log	8.0	384	0.9072	0.6667
No log	9.0	432	0.9282	0.6667
No log	10.0	480	0.9128	0.6719

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3